A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
See the codePerspective is an open-source data grid, pivot table and charting component for large, real-time and streaming datasets. Build user-configurable reports, dashboards, notebooks and embedded analytics applications, backed by a high-performance streaming query engine that runs in-browser via WebAssembly or server-side in Python, Node.js and Rust — or delegates to a database you already have.
A data-reactive UI packaged as a Custom Element, with drag-and-drop query and layout configuration. Includes a virtual-scrolling, editable data grid, WebGL charting engine with 15+ chart types, tile-based geographic maps, full theme support, and React bindings.
A fast, memory-efficient streaming query engine written in C++ and compiled
for WebAssembly (including a 64-bit memory64
build for in-browser datasets larger than 4GB, and support for paging
columns to disk via OPFS in the browser or memory-mapped files natively),
Python and Rust.
Tables update incrementally and views tick in real time, with reactive
joins across tables, a columnar expression language based on
ExprTK, and read/write/streaming
support for Apache Arrow, CSV and JSON.
A symmetric client/server architecture — the same Client API connects to an engine in-process, in a Web Worker, or remotely over WebSocket, with server bindings for Python (aiohttp, Starlette, Tornado), Node.js and Rust. Datasets can be mirrored to the browser for fluid interaction or virtualized server-side, streaming only what's visible.
Virtual servers that run Perspective's UI directly on external engines like DuckDB, ClickHouse, PostgreSQL and Polars, translating view configurations into native queries — no ETL or data copy required.
A Jupyter widget built on anywidget and a Python client library for interactive data analysis in JupyterLab and other notebook environments.
The Perspective project is a member of the The OpenJS Foundation.
Copyright OpenJS Foundation and Perspective contributors. All rights reserved. The OpenJS Foundation has registered trademarks and uses trademarks. For a list of trademarks of the OpenJS Foundation, please see our Trademark Policy and Trademark List. Trademarks and logos not indicated on the list of OpenJS Foundation trademarks are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
The OpenJS Foundation | Terms of Use | Privacy Policy | Bylaws | Code of Conduct | Trademark Policy | Trademark List | Cookie Policy
(top 24 of 126)
5,087 followers · starred Feb 2018
2,245 followers · starred Nov 2025
1,558 followers · starred Apr 2026
964 followers · starred Jun 2022
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
See the codePerspective is an open-source data grid, pivot table and charting component for large, real-time and streaming datasets. Build user-configurable reports, dashboards, notebooks and embedded analytics applications, backed by a high-performance streaming query engine that runs in-browser via WebAssembly or server-side in Python, Node.js and Rust — or delegates to a database you already have.
A data-reactive UI packaged as a Custom Element, with drag-and-drop query and layout configuration. Includes a virtual-scrolling, editable data grid, WebGL charting engine with 15+ chart types, tile-based geographic maps, full theme support, and React bindings.
A fast, memory-efficient streaming query engine written in C++ and compiled
for WebAssembly (including a 64-bit memory64
build for in-browser datasets larger than 4GB, and support for paging
columns to disk via OPFS in the browser or memory-mapped files natively),
Python and Rust.
Tables update incrementally and views tick in real time, with reactive
joins across tables, a columnar expression language based on
ExprTK, and read/write/streaming
support for Apache Arrow, CSV and JSON.
A symmetric client/server architecture — the same Client API connects to an engine in-process, in a Web Worker, or remotely over WebSocket, with server bindings for Python (aiohttp, Starlette, Tornado), Node.js and Rust. Datasets can be mirrored to the browser for fluid interaction or virtualized server-side, streaming only what's visible.
Virtual servers that run Perspective's UI directly on external engines like DuckDB, ClickHouse, PostgreSQL and Polars, translating view configurations into native queries — no ETL or data copy required.
A Jupyter widget built on anywidget and a Python client library for interactive data analysis in JupyterLab and other notebook environments.
The Perspective project is a member of the The OpenJS Foundation.
Copyright OpenJS Foundation and Perspective contributors. All rights reserved. The OpenJS Foundation has registered trademarks and uses trademarks. For a list of trademarks of the OpenJS Foundation, please see our Trademark Policy and Trademark List. Trademarks and logos not indicated on the list of OpenJS Foundation trademarks are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
The OpenJS Foundation | Terms of Use | Privacy Policy | Bylaws | Code of Conduct | Trademark Policy | Trademark List | Cookie Policy
(top 24 of 126)
5,087 followers · starred Feb 2018
2,245 followers · starred Nov 2025
1,558 followers · starred Apr 2026
964 followers · starred Jun 2022